code: def test_serialize_model_autowrapping(self):
      # Test loading saved model
      temp_filepath = os.path.join(self.get_temp_dir(), "mymodel.keras")
      model = ClassifierWithNoSpecialCasing()
      model.compile(optimizer="sgd", loss="mse")
      x, y = np.random.random((3, 2)), np.random.random((3, 1))
      x_test, y_test = np.random.random((3, 2)), np.random.random(
          (3, 1)
      )
      model.fit(x, y)
      ref_loss = model.evaluate(x_test, y_test)
      model.save(temp_filepath)
  
      new_model = saving.load_model(temp_filepath)
      for ref_w, new_w in zip(
          model.get_weights(), new_model.get_weights()
      ):
          self.assertAllClose(ref_w, new_w, atol=1e-5)
      loss = new_model.evaluate(x_test, y_test)
      self.assertAllClose(ref_loss, loss, atol=1e-5)
  
imports: import os
  import numpy
  import pytest
  import torch
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import models
  from keras import saving
  from keras import testing
  from keras.utils.torch_utils import TorchModuleWrapper
label_desc: Use image node_id 4 for calling the TorchUtilsTest obj's underlying member method code with example usage: obj.test_serialize_model_autowrapping() without return types